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Course Outline
Introduction to Azure Data Lake Storage Gen2
- Overview of Azure Data Lake Storage Gen2
- Key features and benefits
- Azure Data Lake Storage Gen1 vs. Azure Blob Storage
Setting up Azure Data Lake Storage Gen2
- Account creation and configuration
- Understanding the hierarchical namespace
- Data import and export strategies
Security and Access Control
- Implementing authentication and authorization
- Managing access with Azure Active Directory (Azure AD)
- Data encryption methods and best practices
Managing Data and Cost Optimization
- Data lifecycle management with storage tiers
- Performance tuning and optimization
- Cost management and optimization strategies
Integrating with Analytics Services
- Introduction to analytics frameworks compatible with Azure Data Lake Storage Gen2
- Use cases with Azure Databricks, Azure HDInsight, and Azure Synapse Analytics
- Building ETL pipelines using Azure Data Factory
Developer Tools and APIs
- Overview of available APIs and SDKs
- Developing applications using the Azure Data Lake Storage Gen2 API
- Automation and orchestration of tasks
Monitoring, Troubleshooting, and Best Practices
- Tools and techniques for monitoring storage and access patterns
- Troubleshooting common issues
- Best practices for managing and scaling Azure Data Lake Storage Gen2
Summary and Next Steps
Requirements
- Basic knowledge of cloud computing principles.
- Foundational understanding of data storage solutions and databases.
Target Audience
- Data engineers.
- Cloud professionals.
- Data scientists.
14 Hours
Testimonials (1)
Hands on exercises. Class should have been 5 days, but the 3 days helped to clear up a lot of questions that I had from working with NiFi already
